Clarks

Clarks partner with Elyzium to deliver an enterprise Workload Automation solution to support their growing 24x7 business and increase efficiencies.

The Challenge

Clarks, a leading UK footwear retailer, had been successfully using Tivoli Workload Scheduler (TWS) to manage their job scheduling requirements for a number of years. But with the end of support date for their original TWS implementation being imminent, along with increased demands on the business brought about by globalisation and the dramatic rise of eCommerce, Clarks required an enhanced solution to support their 24x7 business, increase efficiencies, and provide a strategic, future-proof Workload Automation platform going forward.

The Solution

Elyzium worked closely with the team at Clarks to design a solution with an architecture capable of supporting its growing worldwide business. A detailed plan was produced to ensure that the upgrade from Tivoli Workload Scheduler version 8.4 to version 9.1 could be executed without any risk to the business, and covered the requirements, and education needs, of all stakeholders within the organisation from both a technical and business perspective. Working closely with Clarks, Elyzium managed and implemented version 9.1 in both their test and production environments, whilst ensuring that all existing workload schedules were migrated across successfully, and without any downtime.

“It was important for us to work with a partner with the best skills and expertise to understand our complex environment. Elyzium demonstrated this expertise from the outset, they worked closely with our internal team to understand our requirements and suggest how to best use 9.1. Throughout the project Elyzium’s expertise helped ensure the migration from 8.4 to 9.1 went smoothly without any impact to our business.” - Clarks IT Team

The Business Outcome

More flexible and agile IT Workload Automation solution

Increased resilience through implementation of a Backup Master Domain Manager with DB2 HADR

Ability to cater for existing and future Workload Automation needs

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